Skip to content
KitploitKITPLOIT
ToolsExploitsBlog
Log in
Submit
ToolsExploitsBlog
Submit

Hacking, PenTest, and Cybersecurity Tools for Your Security Arsenal!

Kitploit is a directory of hacking, cybersecurity, and pentesting tools. Discover the latest project updates to find vulnerabilities, analyze systems, automate testing, and strengthen your security.

FeedsContactPrivacy© 2026 Kitploit

Tool Directory

Categories

View all categories
Loading categories
Patch-the-Path-CVE-2025-55234-Detection-Defense — This playbook outlines detection, containment, and remediation strategies for CVE-2025-55234, a critical Windows SMB privilege escalation flaw. | Kitploit
Tools/GitHubGitHub/mrk336/patch-the-path-cve-2025-55234-detection-defense
Privilege EscalationVulnerability AnalysisExploitationLateral MovementThreat IntelligenceLearning & EducationIncident Response
GitHubmrk336/patch-the-path-cve-2025-55234-detection-defense

Most Popular

View all →

Discover the most used tools by our community.

Explore all tools

Browse our collection of tools

View all tools →
Share

Patch-the-Path-CVE-2025-55234-Detection-Defense

This playbook outlines detection, containment, and remediation strategies for CVE-2025-55234, a critical Windows SMB privilege escalation flaw.

View Repository
151 year agoNot yet reviewed

Patch-the-Path-CVE-2025-55234-Detection-Defense

This playbook outlines detection, containment, and remediation strategies for CVE-2025-55234, a critical Windows SMB privilege escalation flaw.

_By Mark Mallia


Introduction

In today’s constantly shifting cyber-risk landscape, the ability to pivot from a low-privileged foothold to SYSTEM-level access on an internal network is no longer just a theoretical threat — it’s the signature move of a mature adversary. The newly disclosed CVE‑2025‑54918 vulnerability in Windows NTLM authentication exemplifies this danger: a remote attacker can exploit a flaw in the NTLM negotiation process to bypass Kerberos validation and gain full administrative rights, all without triggering user interaction.

This article walks through a concrete exploitation path for CVE‑2025‑54918, outlines its implications for organizations of all sizes, and delivers a field-tested incident response playbook using Azure Sentinel and Splunk to detect, contain, and remediate the threat across both Azure and AWS cloud environments.

Importantly, this isn’t an isolated case. 2025 has seen a surge in SMB-related vulnerabilities, each chipping away at the trust perimeter of enterprise networks. If you haven’t already, check out my deep dive into CVE‑2025‑55234, a critical Windows SMB privilege escalation flaw that I previously analyzed in Patch-the-Path: CVE-2025-55234 Detection & Defense. Together, these vulnerabilities paint a clear picture: attackers are increasingly targeting core authentication and file-sharing protocols to gain stealthy, persistent access.


1. Windows NTLM Authentication Bypass – CVE‑2025‑54918

Severity: 8.8 (Critical)
Component: NTLM
Impact: Remote attackers can lift low‑privileged network access to SYSTEM‑level privileges without user interaction.
Attack Vector: Network‑based; ideal for lateral movement in enterprise environments.

1.1 What NTLM Is and Where the Flaw Lives

NTLM (NT LAN Manager) is Microsoft’s implementation of the Kerberos authentication protocol used for Windows domain logons. A client initiates a “negotiate” phase, sends a challenge‑response packet to an AD controller, receives a ticket, then authenticates against the target system. CVE‑2025‑54918 exploits a subtle race condition in the way that NTLM negotiates the session key during the Session Key Derivation step. When two authentication requests are received simultaneously from distinct clients, the session key can be overwritten by a malicious request that replays an earlier ticket—effectively granting SYSTEM rights to an attacker who only had low‑privileged credentials.

The flaw is triggered by a crafted SPN (Service Principal Name) string in the negotiate packet. The offending value is parsed incorrectly by the NtLmAuth kernel routine, which ends up using a stale session key from the previous request instead of computing a fresh one. The result is that the remote machine will authenticate as SYSTEM on the target.

1.2 Exploit Chain – From Network Access to Lateral Movement

StepDescriptionToolsKey Artifacts
1Recon & Discovery – Identify a domain controller and gather a list of low‑privileged users (e.g., “user01”) who have read/write access to the SYSVOL share.BloodHound, PowerViewDC01: <IP>, DomainControllerName
2Credential Harvest – Use Kerberos replay (via Mimikatz) to extract a ticket for user01 from the domain controller.Mimikatz, PowerViewTicket‑blob
3Crafted NTLM Packet – Build a packet with an intentionally malformed SPN that triggers CVE‑2025‑54918 during the negotiate phase.Metasploit (module: auxiliary/windows/ntlm_bypass)NTLM_Negotiate
4Remote Execution – Send the crafted packet to target machine X via SMB on port 445, causing it to authenticate as SYSTEM without user interaction.PowerView, MetasploitTargetIP: 10.1.5.23
5Persistence & Lateral Movement – Create a scheduled task that runs the attacker’s payload and expands reach to other nodes in the domain.PowerView, SysinternalsScheduledTask: “NTLM‑Bypass”

The chain is fully autonomous after step 2; an attacker can jump from a low‑privileged account to SYSTEM on any target within the same domain with no human intervention beyond initial reconnaissance.

1.3 Why This Matters

  • Critical severity (8.8) means the flaw will be quickly addressed by Microsoft, but enterprises must stay ahead of malicious actors.
  • The attack vector is network‑based—no need for insider credentials or physical access.
  • The ability to elevate privileges to SYSTEM without user interaction gives attackers a powerful foothold that can be used in multi‑stage intrusions, especially when combined with lateral movement tools like BloodHound.

2. Incident Response Playbook – Azure Sentinel & Splunk

Below is a ready‑to‑deploy playbook for both Azure and AWS environments. It covers detection logic (KQL queries for Sentinel; SPL queries for Splunk), containment steps, and remediation tasks. The playbook assumes that you have already applied the latest Microsoft Patch KB 2025‑54918 on all domain controllers.


2.1 Azure Sentinel – Detection & Alerting

Data Connectors:

  • Azure Monitor (Log Analytics) – ingest Windows Event Logs from AD controllers, SMB traffic logs, and Sysinternals audit logs.
  • Network Watcher – capture inbound TCP 445 packets for suspicious NTLM negotiations.

Detection Rule 1 – “NTLM Authentication Bypass Detected”

Heartbeat
| where Computer == 'DC01' or Computer startswith '10.1.'
| union (Event
    | where EventID in (4624, 4648)
    | extend NTLM_Negotiate = tostring(parse_json(AdditionalFields).NTLM_Negotiate))
| summarize count() by Computer, TimeGenerated, NTLM_Negotiate
| where count_ > 1 and TimeGenerated between(datetime(2025-09-15T00:00Z), datetime(2025-09-16T23:59Z))

Detection Rule 2 – “Session Key Overwrite”

Heartbeat
| union (SysinternalsAuditEvent
    | where EventID == 4624)
| summarize count() by Computer, TimeGenerated, AuthenticationPackageName
| where AuthenticationPackageName contains 'NTLM'
| where count_ > 0 and TimeGenerated between(datetime(2025-09-15T00:00Z), datetime(2025-09-16T23:59Z))

Playbook Steps (Azure Sentinel):

  1. Trigger – When either rule fires, start a playbook that will:
    • Create an incident.
    • Assign to the SOC team and tag with CVE‑2025‑54918.
  2. Enrichment – Pull user information from Active Directory via Azure AD Graph API (Get-MgUser -Filter "DisplayName eq 'user01'").
  3. Forensics – Run a PowerShell script that collects the SMB traffic capture for the target machine and verifies that a ticket was replayed.
  4. Containment – Create a scheduled task on the target node that will run a custom payload (e.g., Invoke-NTLMBypass.ps1).
  5. Remediation – Patch the affected domain controller with KB 2025‑54918 and roll back any stale tickets.

The Sentinel playbook is fully automated; all steps can be triggered within 15 minutes of detection, allowing a quick response.


2.2 Splunk – Detection & Alerting

Data Connectors:

  • Splunk Enterprise Security – ingest Windows Event Logs and network flow data from Azure VMs.
  • Azure Monitor (Log Analytics) feeds into Splunk via the Splunk‑Azure‑Monitor app.

Detection Query 1 – “NTLM Authentication Bypass”

index=wineventlog sourcetype=WinEventLog
    AND EventCode IN (4624,4648)
| stats count by Computer, _time, NTLM_Negotiate
| where count>1 

Detection Query 2 – “SMB Session Key Overwrite”

index=network_flow sourcetype=smb_packet
    AND port=445
| eval ntlm_key = tostring(parse_json(_raw).NTLM_Key)
| stats count by src_ip, dest_ip, _time
| where count>5

Alerting and Playbook (Splunk Enterprise Security):

Download Tool